cv_summarization-distilbart-cnn-16-6

This model is a fine-tuned version of philschmid/tf-distilbart-cnn-12-6 on cnn_dailymail dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1445
• Validation Loss: 0.4524
• Epoch: 4
• Rouge1: 76.90
• Rouge2: 73.30
• RougeL: 76.04
• RougeLsum: 75.87

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• optimizer: {'name': 'Adam', 'learning_rate': 2e-05}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.7265	0.4665	0
0.3192	0.4480	1
0.2154	0.4395	2
0.1587	0.4668	3
0.1445	0.4524	4

Framework versions

• Transformers 4.30.1
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3